Automated Computer-Aided Detection of Lung Nodules in Metastatic Colorectal Cancer Patients for the Identification of Pulmonary Oligometastatic Disease

Lee, Jason Joon Bock; Suh, Young Joo; Oh, Caleb; Lee, Byung Min; Kim, Jin Sung; Chang, Yongjin; Jeon, Yeong Jeong; Kim, Ji Young; Park, Sung Yong; Chang, Jee Suk

doi:10.1016/j.ijrobp.2022.08.042

Cited by 2 publications

(1 citation statement)

References 22 publications

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“…This finding could play a significant role in transferring the progression-free survival advantage observed in multiple phase II trials to patients treated in everyday clinical practice, but efforts are required to utilize MDT easily and more efficiently considering the potential increase in physicians' workload with a regular MDT in metastatic patients. 12 As shown in our previous work, 37 artificial intelligence-based tools would enable a quick estimation of disease burden and identification of OMD state, thus increasing their chance of being presented in MDTs and eventually being referred for local therapy Additionally, CRC histology-and site-specific phase III trials are needed to guide our practice of local therapy.…”

Section: Pattern Of Failures (At the Time Of Mdt-pt)mentioning

confidence: 98%

Active involvement of patients, radiation oncologists, and surgeons in a multidisciplinary team approach: Guiding local therapy in recurrent, metastatic rectal cancer

Choi,

Yang,

Koom

et al. 2023

Cancer Medicine

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BackgroundDespite the extensive implementation of an organized multidisciplinary team (MDT) approach in cancer treatment, there is little evidence regarding the optimal format of MDT. We aimed to investigate the impact of patient participation in MDT care on the actual application rate of metastasis‐directed local therapy.MethodsWe identified all 1211 patients with locally advanced rectal cancer treated with neoadjuvant radiochemotherapy at a single institution from 2006 to 2018. Practice patterns, tumor burden and OMD state were analyzed in recurrent, metastatic cases.ResultsWith a median follow‐up of 60.7 months, 281 patients developed metastases, and 96 (34.2%), 92 (32.7%), and 93 (33.1%) patients had 1, 2–5, and >5 lesions, respectively. In our study, 27.1% were managed in the MDT clinic that mandated the participation of at least four to five board‐certified multidisciplinary experts and patients in decision‐making processes, while the rest were managed through diverse MDT approaches such as conferences, tumor board meetings, and discussions conducted via phone calls or email. Management in MDT clinic was significantly associated with more use of radiotherapy (p = 0.003) and more sessions of local therapy (p < 0.001). At the time of MDT clinic, the number of lesions was 1, 2–5, and >5 in 9 (13.6%), 35 (53.1%), and 19 (28.8%) patients, respectively. The most common states were repeat OMD (28.8%) and de novo OMD (27.3%), followed by oligoprogression (15%) and induced OMD (10.6%).ConclusionOur findings suggest that active involvement of patients and radiation oncologists, and surgeons in MDT care has boosted the probability of using local therapies for various types of OMD throughout the course of the disease.

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Section: Pattern Of Failures (At the Time Of Mdt-pt)mentioning

confidence: 98%

Active involvement of patients, radiation oncologists, and surgeons in a multidisciplinary team approach: Guiding local therapy in recurrent, metastatic rectal cancer

Choi,

Yang,

Koom

et al. 2023

Cancer Medicine

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Technological Advancements in Interventional Oncology

et al. 2023

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Interventional radiology, and particularly interventional oncology, represents one of the medical subspecialties in which technological advancements and innovations play an utterly fundamental role. Artificial intelligence, consisting of big data analysis and feature extrapolation through computational algorithms for disease diagnosis and treatment response evaluation, is nowadays playing an increasingly important role in various healthcare fields and applications, from diagnosis to treatment response prediction. One of the fields which greatly benefits from artificial intelligence is interventional oncology. In addition, digital health, consisting of practical technological applications, can assist healthcare practitioners in their daily activities. This review aims to cover the most useful, established, and interesting artificial intelligence and digital health innovations and updates, to help physicians become more and more involved in their use in clinical practice, particularly in the field of interventional oncology.

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Automated Computer-Aided Detection of Lung Nodules in Metastatic Colorectal Cancer Patients for the Identification of Pulmonary Oligometastatic Disease

Cited by 2 publications

References 22 publications

Active involvement of patients, radiation oncologists, and surgeons in a multidisciplinary team approach: Guiding local therapy in recurrent, metastatic rectal cancer

Active involvement of patients, radiation oncologists, and surgeons in a multidisciplinary team approach: Guiding local therapy in recurrent, metastatic rectal cancer

Technological Advancements in Interventional Oncology

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